Thanh-Hung Nguyen

Orcid: 0000-0001-6290-2841

According to our database1, Thanh-Hung Nguyen authored at least 69 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning.
IEEE Trans. Computers, June, 2025

Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures.
Future Gener. Comput. Syst., 2025

CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusion Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Self-supervised air quality estimation with graph neural network assistance and attention enhancement.
Neural Comput. Appl., July, 2024

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
ACM Trans. Intell. Syst. Technol., February, 2024

FQ-SAT: A fuzzy Q-learning-based MPQUIC scheduler for data transmission optimization.
Comput. Commun., 2024

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A Controller for Delta Parallel Robot Based on Hedge Algebras Method.
J. Robotics, 2023

A Q-Learning-based Energy Efficiency Optimization in LoRa Networks.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

A Novel Approach for Extracting Key Information from Vietnamese Prescription Images.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

A Fast Skeleton-Based Recognition of Traffic Police Gestures with Spatial-Temporal Graph Convolutional Network.
Proceedings of the International Conference on Computing and Communication Technologies, 2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection.
Proceedings of the International Joint Conference on Neural Networks, 2023

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning.
Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, Matsue, Japan, November 28, 2023

A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing.
IEEE Trans. Netw. Serv. Manag., December, 2022

On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks.
ACM Trans. Sens. Networks, November, 2022

Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs.
IEEE Trans. Green Commun. Netw., 2022

Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Unsupervised Air Quality Interpolation with Attentive Graph Neural Network.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
Proceedings of the 51st International Conference on Parallel Processing, 2022

Image-Based Contextual Pill Recognition with Medical Knowledge Graph Assistance.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

Multi-stream Fusion for Class Incremental Learning in Pill Image Classification.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning.
Sensors, 2021

PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model.
IEEE Access, 2021

QIH: An Efficient Q-Learning Inspired Hole-Bypassing Routing Protocol for WSNs.
IEEE Access, 2021

MC-OCR Challenge 2021: A Multi-modal Approach for Mobile-Captured Vietnamese Receipts Recognition.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems.
Proceedings of the IEEE International Performance, 2021

Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-Based Denoising.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks.
Proceedings of the 19th IEEE International Conference on Embedded and Ubiquitous Computing, 2021

Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype.
Proceedings of the 26th IEEE Asia-Pacific Conference on Communications, 2021

2020
A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes.
Sensors, 2020

Automated Test Input Generation via Model Inference Based on User Story and Acceptance Criteria for Mobile Application Development.
Int. J. Softw. Eng. Knowl. Eng., 2020

Monitoring agriculture areas with satellite images and deep learning.
Appl. Soft Comput., 2020

Extending Network Lifetime by Exploiting Wireless Charging in WSN.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

A Method for Improvement the Parameter Estimation of Non-linear Regression in Growth Model to Predict Project Cost at Completion.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Q-learning-based, Optimized On-demand Charging Algorithm in WRSN.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
A Novel Surface Descriptor for Automated 3-D Object Recognition and Localization.
Sensors, 2019

A Dynamic Routing Protocol for Maximizing Network Lifetime in WSNs with Holes.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Exploiting Q-Learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Network Lifetime Maximization for Full Area Coverage in Wireless Sensor Networks.
Proceedings of the 25th Asia-Pacific Conference on Communications, 2019

2018
Routing in the Vicinity of Multiple Holes in WSNs.
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2018

Load balanced and constant stretch routing in the vicinity of holes in WSNs.
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

2017
Safe Incremental Design of UML Architectures.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Constant stretch and load balanced routing protocol for bypassing multiple holes in wireless sensor networks.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

A Delay-Guaranteed Geographic Routing Protocol with Hole Avoidance in WSNs.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

2016
Component-based verification using incremental design and invariants.
Softw. Syst. Model., 2016

Improve the Performance of Mobile Applications Based on Code Optimization Techniques Using PMD and Android Lint.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

2015
Runtime verification of component-based systems in the BIP framework with formally-proved sound and complete instrumentation.
Softw. Syst. Model., 2015

2014
Combinations of Boolean Gröbner Bases and SAT Solvers.
PhD thesis, 2014

2011
Rigorous Component-Based System Design Using the BIP Framework.
IEEE Softw., 2011

On the Simulation of Time-Triggered Systems on a Chip with BIP
CoRR, 2011

Runtime Verification of Component-Based Systems.
Proceedings of the Software Engineering and Formal Methods - 9th International Conference, 2011

D-Finder 2: Towards Efficient Correctness of Incremental Design.
Proceedings of the NASA Formal Methods, 2011

Efficient deadlock detection for concurrent systems.
Proceedings of the 9th IEEE/ACM International Conference on Formal Methods and Models for Codesign, 2011

2010
Compositional verification for component-based systems and application.
IET Softw., 2010

Incremental Invariant Generation for Compositional Design.
Proceedings of the 4th IEEE International Symposium on Theoretical Aspects of Software Engineering, 2010

Incremental component-based construction and verification using invariants.
Proceedings of 10th International Conference on Formal Methods in Computer-Aided Design, 2010

Invariants and Robustness of BIP Models.
Proceedings of the Second International Workshop on Invariant Generation, 2010

2009
Designing autonomous robots.
IEEE Robotics Autom. Mag., 2009

D-Finder: A Tool for Compositional Deadlock Detection and Verification.
Proceedings of the Computer Aided Verification, 21st International Conference, 2009

2008
Incremental Component-Based Construction and Verification of a Robotic System.
Proceedings of the ECAI 2008, 2008


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